Study on the classification of sleep stages in EEG signals based on DoubleLinkSleepCLNet.

Journal: Sleep & breathing = Schlaf & Atmung
Published Date: Jul 24, 2024

Abstract

PURPOSE: The classification of sleep stages based on Electroencephalogram (EEG) changes has significant implications for evaluating sleep quality and sleep status. Most polysomnography (PSG) systems have a limited number of channels and do not achieve optimal classification performance due to a paucity of raw data. To leverage the data characteristics and enhance the classification accuracy, we propose and evaluate a novel dual-link deep neural network model, 'DoubleLinkSleepCLNet'.

Authors

  • Xiaoxiao Ma
    The National and Local Joint Engineering Laboratory of Animal Peptide Drug Development, College of Life Sciences, Hunan Normal University, Changsha 410081, People's Republic of China.
  • Guimei Yin
    College of Computer Science and Technology, Taiyuan Normal University, No. 319 Daxue Street, Jinzhong, 030619, Shanxi, China. yinguimeicn@126.com.
  • Lin Wang
    Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China.
  • Dongli Shi
    College of Computer Science and Technology, Taiyuan Normal University, No. 319 Daxue Street, Jinzhong, 030619, Shanxi, China.
  • YanLi Zhao
    Medicinal Plants Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650200, China.
  • Shuping Tan
    Psychiatry Research Center, Peking University Huilonguan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, 100096, China.
  • Mengzhen Yin
    College of Computer Science and Technology, Taiyuan Normal University, No. 319 Daxue Street, Jinzhong, 030619, Shanxi, China.
  • Jianghao Zhao
    College of Computer Science and Technology, Taiyuan Normal University, No. 319 Daxue Street, Jinzhong, 030619, Shanxi, China.
  • Maoyun Wang
    College of Computer Science and Technology, Taiyuan Normal University, No. 319 Daxue Street, Jinzhong, 030619, Shanxi, China.
  • Yanjun Chen
    Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics Guangdong Province), Guangzhou, PR China.

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